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It's time to kick off our first seminar, which will take place the 2nd of December from 14:30 to 15:30 at the IRIT Auditorium in the Paul Sabatier Campus. We will have two speakers, and each presentation will last 20 minutes plus an additional 10 minutes for questions. The presentations will be in English and everybody is welcome to join!
The speakers are Bhavin Choksi from CerCo who will present his current work on biologically inspired neural networks, and Vincent Roger from IRIT who will provide an overview about few-shot learning techniques.
Here the two abstracts:
- Bhavin Choksi (CerCo): "Building biologically inspired robust neural networks"
"Adversarial perturbations in computer vision can easily fool neural networks to misclassify images from a category as belonging to a completely different category. We hypothesize that this is due to the poor representations learned by the networks while training on one-hot targets that do not convey any information about semantic relations between categories. We also use predictive mechanisms thought to be used in the brain to build more robust architectures. In this talk, I will discuss our approach and the progress we have made thus far."
- Vincent Roger (IRIT): "Overview of few-shots learning techniques"
"Actual state-of-the-art models use Big Datasets to achieve their results. These models are mainly Deep Neural Networks and are not well adapted for small datasets. By small datasets we mean more or less 5 examples per class. In this talk we will review few-shot techniques/frameworks that try to tackle this problem."
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